Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network

The proposed deep convolutional neural network provided a good model by which to interpret DAT SPECT of basal nuclei. We believe that the model could be used as an auxiliary tool to facilitate image interpretation and enhance accuracy in the diagnosis of PD.

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Publication Details

Journal
Nuclear Medicine Communications
Published
2025-02-18
DOI
https://doi.org/10.1097/mnm.0000000000001963
Citations
2
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
2.78
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article

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network

Ya-Ju Tsai, Syu‐Jyun Peng, Hsin‐Yung Chen
2 citations
Nuclear Medicine Communications
Parkinson's Disease Mechanisms and Treatments
2.78
article

Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network

Ya-Ju Tsai, Syu‐Jyun Peng, Hsin‐Yung Chen
article en
2 citations

Abstract

The proposed deep convolutional neural network provided a good model by which to interpret DAT SPECT of basal nuclei. We believe that the model could be used as an auxiliary tool to facilitate image interpretation and enhance accuracy in the diagnosis of PD.

Nuclear Medicine CommunicationsVol. 46(5)
Taipei Medical University Hospital (TW), Artificial Intelligence in Medicine (Canada) (CA), Taipei Medical University (TW)
Good health and well-being
Openalex Percentile: Top 12%
Parkinson's Disease Mechanisms and Treatments
2.78
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